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Converting Big Data into Big Knowledge © 2012 IBM Corporation Information from Every Entity – Machine 640 Terabytes 1 Billion Lines of Code EACH30 engine generates 10 TB/30 minutes billion RFID tags 280 flights every day (1.3B in 2005) 11BMW on British Airways alone 7 series Intelligent Tractors 1 Terabyte of Trade information Captured every day by the New York Stock Exchange 200 million smart meters by 2014 Yearly Reading 120M Readings a Month 3.65B Readings a Day 350B Transactions/Year 2 © 2012 IBM Corporation Information from Every Entity – Man 12+ Terabytes of tweet data every day 4.6 billion Camera phones world wide Geospatial tagging Location based advertising Location based monitoring 25+ Terabytes log data every day 3 © 2012 IBM Corporation Big Data enabled doctors from University of Ontario to apply neonatal infant monitoring to predict infection in ICU 24 hours in advance IBM Data Baby youtube.com 44 Analyzing 1000 pieces of unique medical diagnostic information / second and stored in a IBM Corporation dynamic model. Perspective: 20% drop in mortality of control group ©in2012 trials Why Didn’t We Use All of the Big Data Before? “IBM had experts within data mining, Big Data, and Apache Hadoop and it was clear to use from the beginning we wanted to improve our business, not only today, but also prepare for the challenges we will face in three to five years, we had to go with IBM.” – Lars Christian Christensen VP Plant Siting & Forecasting 5 © 2012 IBM Corporation IBM Big Data Platform is your Big Data Knowledge Factory Analytic Knowledge Accelerators Your Current Analytic Applications BI / Reporting Exploration / Visualization Functional App Industry App Predictive Analytics Content Analytics IBM Big Data Platform Visualization & Discovery Application Development Systems Management Stream Computing • Statistical & Predictive Analytics • Entity Integration Analytics Enterprise Robustness • Visualization & Application Tools Accelerators Hadoop System • Text Analytics, Sentiment Analytics Data Warehouse • Cluster and Workload Management • Security & Governance Integration Information Integration & Governance • With current sources • With new Big Data sources 6 © 2012 IBM Corporation IBM Big Data Strategy: Move the Analytics Closer to the Data New analytic applications drive the requirements for a big data platform • Integrate and manage the full variety, velocity and volume of data • Apply advanced analytics to information in its native form Analytic Applications BI / Exploration / Functional Industry Predictive Content BI / Reporting Visualization App App Analytics Analytics Reporting IBM Big Data Platform Visualization & Discovery • Visualize all available data for adhoc analysis • Development environment for building new analytic applications Application Development Systems Management Accelerators Hadoop System Stream Computing Data Warehouse • Workload optimization and scheduling • Security and Governance 7 Information Integration & Governance © 2012 IBM Corporation www.bigdatauniversity.com 8 © 2012 IBM Corporation